NF X06-037

NF X06-037

December 2008
Standard Cancelled

Application of statistical methods - Aptitude of a multimodal production process

Le présent document définit une méthodologie permettant d'évaluer l'aptitude d'un processus de production sur le court terme à respecter une caractéristique mesurable tolérancée du produit, même si des causes identifiées induisent une distribution multimodale.

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Main informations

Collections

National standards and national normative documents

Publication date

December 2008

Number of pages

35 p.

Reference

NF X06-037

ICS Codes

03.120.30   Application of statistical methods

Classification index

X06-037

Print number

1 - 01/12/2008
Sumary
Application of statistical methods - Aptitude of a multimodal production process

Le présent document définit une méthodologie permettant d'évaluer l'aptitude d'un processus de production sur le court terme à respecter une caractéristique mesurable tolérancée du produit, même si des causes identifiées induisent une distribution multimodale.
Standard replaced by (1)
NF ISO 22514-8
December 2014
Standard Current
Statistical methods in process management - Capability and performance - Part 8 : machine performance of a multi-state production process

ISO 22514-8:2014 aims to define the evaluation method to quantify the short-term capability of a production process (capacity of the production tool, widely termed capability), i.e. the machine performance index, to ensure compliance to a toleranced measurable product characteristic, when said process does not feature any kind of sorting system. If the production process integrates a sorting system, then this one (clearing away nonconforming parts) should be analysed independently. ISO 22514-8:2014 does not aim to define evaluation methods of the capability of a production process that is gauged through long-term observation (capability process or performance process indices). ISO 22514-8:2014 defines the principles guiding the development of indicators for quantifying capability, and the statistical methods to be employed. The characteristics used to evaluate production process capability have statistical distributions, and it is presumed, a priori, that at least one of these distributions is multi-modal. A distribution is presumed to be multimodal if it results from the marked effect of at least one cause inducing a significant difference between the produced items. ISO 22514-8:2014 applies, for example, to characteristics generated by processes such as the following: multi-cavity casting, multi-fixture machining, batch load treatments. Each cavity, fixture, or position in the batch load corresponds to a different state. The multi-state process can be understood as the result of the combination of different states within the same process (e.g. cavity, fixture, position in the batch load).

Table of contents
  • Avant-propos
    4
  • 1 Domaine d'application
    4
  • 2 Références normatives
    4
  • 3 Termes et définitions
    5
  • 4 Symboles et abréviations
    9
  • 5 Analyse technique préalable du processus
    9
  • 5.1 Généralités
    9
  • 5.2 Identification des facteurs intrinsèques
    10
  • 5.3 Détermination des modes particuliers du processus
    10
  • 6 Vérifications préalables au calcul d'indicateurs
    10
  • 6.1 Moyen de mesure
    10
  • 6.2 Définition du plan d'échantillonnage pour estimer la dispersion intrinsèque globale
    11
  • 7 Estimation de la dispersion intrinsèque globale et calcul des indicateurs d'aptitude
    11
  • 7.1 Généralités
    11
  • 7.2 Vérification de l'absence de valeur aberrante parmi les mesures effectuées
    12
  • 7.3 Détermination des largeurs des dispersions intrinsèques locales
    12
  • 7.4 Détermination des positions des dispersions intrinsèques locales
    13
  • 7.5 Dispersion intrinsèque globale : type et estimation
    14
  • 7.6 Calcul des indicateurs d'aptitude Car, et Cmk (ou Pp et Ppk)
    16
  • 7.7 Seuils d'acceptation des indicateurs d'aptitude
    17
  • Annexe A (informative) Modes de qualification d'un processus de traitement
    18
  • Annexe B (normative) Tests statistiques
    32
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